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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- eurlex |
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model-index: |
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- name: bert-small-eurlex |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# bert-small-eurlex |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the eurlex dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4260 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 80 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.9536 | 1.5 | 1000 | 2.0670 | |
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| 2.0331 | 3.0 | 2000 | 1.7540 | |
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| 1.8046 | 4.5 | 3000 | 1.5993 | |
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| 1.678 | 6.0 | 4000 | 1.5039 | |
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| 1.6074 | 7.5 | 5000 | 1.4544 | |
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| 1.5664 | 8.99 | 6000 | 1.4260 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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